In terms of industry progress towards the cloud-supported, scalable metaverse, no organization has come further than the U.S. Army. Their Synthetic Training Environment (STE) has been in development since 2017. The STE aims to replace all legacy simulation programs and integrate different systems into a single, connected system for combined arms and joint training.
The STE fundamentally differs from traditional, server-based approaches. For example, it will host a 1:1 digital twin of the Earth on a cloud architecture that will stream high fidelity (photo-realistic) terrain data to connected simulations. New terrain management platforms such as Mantle ETM will ensure that all connected systems operate on exactly the same terrain data. For example, trainees in a tank simulator will see the same trees, bushes and buildings as the pilot in a connected flight simulator, facilitating combined arms operations.
Cloud scalability (that is, scaling with available computational power) will allow for a better real-world representation of essential details such as population density and terrain complexity that traditional servers could not support. The ambition of STE is to automatically pull from available data resources to render millions of simulated entities, such as AI-based vehicles or pedestrians, all at once.